chore: [openai] bump sdk (#31958)

This commit is contained in:
ccurme
2025-07-10 15:53:41 -04:00
committed by GitHub
parent b5462b8979
commit 612ccf847a
5 changed files with 1467 additions and 1433 deletions

View File

@@ -2126,7 +2126,9 @@ class ChatOpenAI(BaseChatOpenAI): # type: ignore[override]
AIMessageChunk(content="", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
AIMessageChunk(content="J", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
AIMessageChunk(content="'adore", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
AIMessageChunk(
content="'adore", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0"
)
AIMessageChunk(content=" la", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0")
AIMessageChunk(
content=" programmation", id="run-9e1517e3-12bf-48f2-bb1b-2e824f7cd7b0"
@@ -2182,7 +2184,11 @@ class ChatOpenAI(BaseChatOpenAI): # type: ignore[override]
"logprobs": None,
},
id="run-012cffe2-5d3d-424d-83b5-51c6d4a593d1-0",
usage_metadata={"input_tokens": 31, "output_tokens": 5, "total_tokens": 36},
usage_metadata={
"input_tokens": 31,
"output_tokens": 5,
"total_tokens": 36,
},
)
.. dropdown:: Tool calling
@@ -2299,7 +2305,9 @@ class ChatOpenAI(BaseChatOpenAI): # type: ignore[override]
tool = {"type": "web_search_preview"}
llm_with_tools = llm.bind_tools([tool])
response = llm_with_tools.invoke("What was a positive news story from today?")
response = llm_with_tools.invoke(
"What was a positive news story from today?"
)
response.content
.. code-block:: python
@@ -2346,7 +2354,8 @@ class ChatOpenAI(BaseChatOpenAI): # type: ignore[override]
.. code-block:: python
second_response = llm.invoke(
"What is my name?", previous_response_id=response.response_metadata["id"]
"What is my name?",
previous_response_id=response.response_metadata["id"],
)
second_response.text()
@@ -2424,7 +2433,9 @@ class ChatOpenAI(BaseChatOpenAI): # type: ignore[override]
setup: str = Field(description="The setup of the joke")
punchline: str = Field(description="The punchline to the joke")
rating: Optional[int] = Field(description="How funny the joke is, from 1 to 10")
rating: Optional[int] = Field(
description="How funny the joke is, from 1 to 10"
)
structured_llm = llm.with_structured_output(Joke)